gscusum: Group-sequential CUSUM chart

In cusum: Cumulative Sum (CUSUM) Charts for Monitoring of Hospital Performance

Description

Calculate GSCUSUM chart for non-risk-adjusted processes.

Usage

gscusum(input_outcomes, failure_probability, odds_multiplier, limit,
  quantiles, max_num_shuffles = 10000L, seed = 0L)

Arguments

input_outcomes	Matrix. First column are binary patient outcomes (0,1). Second column are continuous sequence of block identifier.
failure_probability	Double. Baseline failure probability
odds_multiplier	Double. Odds multiplier of adverse event under the alternative hypothesis (<1 looks for decreases)
limit	Double. Control limit for signalling performance change
quantiles	Double. Vector of requested quantiles of GSCUSUM distribution
max_num_shuffles	Integer. Number of shuffles (i.e. different sequences of observations)
seed	Integer. Seed for RNG (if = 0 random seed is set (default))

Value

gscusum matrix, signal probability, average CUSUM value and specified quantiles for every observation.

cusum documentation built on Oct. 2, 2019, 5:03 p.m.